flowchart TD
    A[Input Thought] --> B[AI Complexity Analyzer]
    B --> C[Complexity Metadata Stored]
    C --> D[Fixed Strategy: full_exploration]
    D --> E[Step 1: Initial Synthesis]
    E --> F[Step 2: Parallel Specialist Agents]
    F --> G[Step 3: Final Synthesis]
    G --> H[Unified Response]

{
  thought: string,               // One focused reasoning step
  thoughtNumber: number,         // 1-based step index; increment each call
  totalThoughts: number,         // Planned number of steps
  nextThoughtNeeded: boolean,    // true for intermediate steps, false on final step
  isRevision: boolean,           // true only when revising earlier conclusions
  branchFromThought?: number,    // Set with branchId to branch from a prior step
  branchId?: string,             // Branch identifier (required when branching)
  needsMoreThoughts: boolean     // true only when extending beyond totalThoughts
}

{
  should_continue: boolean,      // Canonical continuation signal
  next_thought_number: number?,  // Recommended next thoughtNumber
  stop_reason: string,           // Why to continue/stop/retry
  current_thought_number: number,
  total_thoughts: number,
  next_call_arguments?: {        // Suggested next-call arguments when applicable
    thoughtNumber: number,
    totalThoughts: number,
    nextThoughtNeeded: boolean,
    needsMoreThoughts: boolean
  },
  parameter_usage: Record<string, string>
}

git clone https://github.com/FradSer/mcp-server-mas-sequential-thinking.git
cd mcp-server-mas-sequential-thinking

uv pip install .        # or: pip install .

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "mcp-server-mas-sequential-thinking",
      "env": {
        "LLM_PROVIDER": "deepseek",
        "DEEPSEEK_API_KEY": "your_api_key",
        "EXA_API_KEY": "your_exa_key_optional"
      }
    }
  }
}

# LLM provider (required)
LLM_PROVIDER="deepseek"  # deepseek, groq, openrouter, github, anthropic, ollama
DEEPSEEK_API_KEY="sk-..."

# Optional: override the models per provider (prefixed by provider name)
# DEEPSEEK_ENHANCED_MODEL_ID="deepseek-chat"
# DEEPSEEK_STANDARD_MODEL_ID="deepseek-chat"

# Optional: web research (enables ExaTools)
# EXA_API_KEY="your_exa_api_key"

# Optional: custom endpoint
# LLM_BASE_URL="https://custom-endpoint.com"

# Optional: team orchestration mode (standard/broadcast, route, coordinate)
# TEAM_MODE="standard"

mcp-server-mas-sequential-thinking        # installed script
uv run mcp-server-mas-sequential-thinking  # or via uv

# Install with dev dependencies
uv pip install -e ".[dev]"

# Code quality
uv run ruff check . --fix
uv run ruff format .
uv run mypy .

# Run tests
uv run pytest tests/

# Or use the Makefile
make test        # all tests with coverage + quality checks
make test-fast   # fast run without coverage
make check-all   # all quality checks

npx @modelcontextprotocol/inspector uv run mcp-server-mas-sequential-thinking

mcp-server-mas-sequential-thinking/
├── src/mcp_server_mas_sequential_thinking/
│   ├── main.py                          # MCP server entry point (MCPServer)
│   ├── processors/
│   │   ├── multi_thinking_core.py       # Specialist agent definitions
│   │   └── multi_thinking_processor.py  # Parallel sequence execution
│   ├── routing/
│   │   ├── ai_complexity_analyzer.py    # AI complexity analysis
│   │   ├── complexity_types.py          # Complexity metric models
│   │   └── multi_thinking_router.py     # Fixed full_exploration routing
│   ├── services/
│   │   ├── server_core.py               # ThoughtProcessor implementation
│   │   ├── processing_orchestrator.py   # Agno Team orchestration
│   │   ├── workflow_executor.py
│   │   └── context_builder.py
│   ├── infrastructure/
│   │   ├── persistent_memory.py         # SQLite session storage
│   │   └── learning_resources.py        # Agent learning machine
│   ├── security/rate_limiter.py         # Rate limiting and request validation
│   └── config/
│       ├── modernized_config.py         # Provider strategies
│       └── constants.py                 # System constants
├── scripts/mcp_python_client_smoke.py   # Protocol smoke test
├── tests/                               # Unit and integration tests
├── pyproject.toml
└── Makefile